Monday, December 14, 2015

Metacog is hiring a remote senior data scientist. They build tools for online learning. They are looking for folks to help them predict the learners state: engaged, board, happy, sad, etc. They were hiring back in October for a regular ol' data scientist. Now it's senior.

REQUIREMENTS

· Two years experience in applied data science or data science-related degree

Hands-on data sensor and systems development, data acquisition and research analysis experience in one or more of the following fields: electromagnetic fields, radiofrequency, thermal, near infrared, acoustics, optics, image acquisition, airborne and other remote sensing technologies.

This is a unique role that combines data science, human interaction, product understanding, and teaching/training/evangelism. As such, we’re looking for a unique individual, not a specific resume template. As a rough guide there, we think a successful person in this role will…

Have familiarity with a wide range of tools, and an interest in staying up to date on the latest techniques and trends in data science (e.g., R, Python, deep learning, h2o, scikit-learn, caret, etc)

Be deeply motivated by helping people achieve their goals. You find it rewarding and satisfying to give someone advice, sample code, or training that lets them work better and complete projects faster.

Enjoy interacting with people, teaching them new things, showing them new techniques.

You could have a Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. Alternatively, you could have at least 3-5 years of applied "industry" data science experience. We are not hung up on credentials, we just want the best data scientist we can find who is rigorously pragmatic, inventive, and can deliver solutions requiring short feedback loops for delivery. You have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

Friday, September 11, 2015

FireEye, a company that "provides real-time threat protection to enterprises and governments worldwide" is looking to hire a remote senior data scientist. If you're interested in cyber security and meeting the following requirements, you should check it out:

Experience in applying a wide variety of unsupervised and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.

Polyglot - able to learn and contribute using different languages and technologies

As a Data Scientist, you will have 2-4 years working experience in number crunching, data analysis and visualisation. You will be fearless in data crunching and keen to show-off your pivots and scorecards with eye-candy that begs to differ from boring Excel charts.

As a Data Scientist you will work on our machine learning platform and actively contribute to the development of our state-of-the-art preprocessing and modeling capabilities. You will join some of the best and brightest Data Scientists in the world in order to build innovative predictive modeling solutions that allow end-users to build more accurate models faster.

Friday, July 17, 2015

Selerity is hiring a remote data scientist. This senior position will help "change how the world interacts with news." They're looking to move their finance products into the media space. Among other requirements, you must:

Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.

Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.

Demonstrated advanced proficiency in one or more of the following fields: Natural Language Processing, Machine Learning, Deep Learning, Recommendation Systems.

Understand that a statistically rigorous process of forming and testing hypotheses is more important than the latest buzzword.

This role will involve taking residential real estate information we have collected and creating effective means to generate methods to predict real estate market conditions. Specific predictions include how likely a home is to sell, how many transactions will occur in the market, future residential housing demand and future consumer confidence in the housing industry. To test the success of the data science and modeling, the predictions will be measured against various housing indexes and real estate stocks.

Design and implement analytics on communications and files (e.g. email, IM, etc.) to help customers understand trending topics, who is collaborating with who, average response times, communication frequency, alerting to sensitive information and quantitative thresholds, and much much more

Sports Algorithms Developers at EAS write software algorithms which analyse real-time sports statistics and utilise those statistics to set sports betting odds and probabilities. Prior experience in writing sports or gaming-related algorithms is a major plus, but not a requirement. However, prior experience in writing data analysis algorithms of some kind is required.

Thursday, May 28, 2015

We've refined our product development process drastically recently. The way we identify opportunities for our Research, Product and Tech teams to focus on is through extensive analysis of our available data on our customers.You'll have a very deep understanding about SaaS growth metrics and how to identify key metrics to dig in deeper. This means deep understanding of churn, LTV, AARRR metrics and other specific numbers important for subscription business. You can understand various datasets quickly and you know how to create visualizations and make conclusions using tools like Looker and CSV tools. You can offer guidance to our Data team on how to further build out our growth dashboard to help us keep making validated decisions.

With Blossom we’re building a “Google-now”-like experience for software development teams.Whether that means sentiment analysis on a comment thread in a feature discussion, automatically identifying technical debt in pull requests or helping people to make better sense of productivity & performance metrics — there are a lot of use-cases where we can assist software developers in their day to day.

Tuesday, May 26, 2015

Help surface interesting business insights from millions of data points across multiple companies.Hundreds of businesses rely on Baremetrics to provide insight into the revenue of their business. Your job would be to provide and surface interesting business insights and projections that help others grow their businesses based on their historical data.With 10's of millions of data points across hundreds of businesses, you'll have lots of data to do interesting things with.

Thursday, May 21, 2015

We need a java backend engineer to work with NLP (natural language processing), big-data, solr, hadoop .. In essence, if you are a fast learning engineer and you are interested in data-mining techniques and you enjoy building algorithms as well as applying math concepts, do not hesitate to contact us.We are a three-engineers team. We apply text-­mining semi­-supervised algorithms for information extraction from big data on clinical trial protocols. We expect you to improve the performance of our algorithms & processes, optimize the use of Lucene API /Solr and use Hadoop.

We’re seeking a Data Scientist to join our Engineering team. This is a new role, and somewhat open ended. Are you more of a devops person with some data science leanings? Are you a data scientist who knows a bit about database storage engines? Great — either way this is the job for you.

What would you be doing?

Build tools to parse and analyze high volume data across all PMC properties

Work with Engineering team to determine how to collect data to achieve our goals

Pulling useful information into our internal analytics dashboard

Using Data! and Science! to answer questions about our content and content production

Tuesday, May 19, 2015

Help us build solutions that make you and our customers happy. If you're interested in data science, data visualization, API design, Infrastructure or any of the technologies you see here, give us a holler.

Monday, May 18, 2015

Act as the Lead Programmer overseeing technical planning for increasingly complex projects including global and multiple study projects, Integrated of Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) and electronic submissions.• Act as the Biometrics Project Manager for assigned projects.• Work on complex problems where analysis of situations or data requires an evaluation of intangible variables; development of technical solutions to abstract problems which require the use of ingenuity and creativity.• Review and interpret Statistical Analysis Plans and provide comments for assigned projects.

Friday, May 15, 2015

the Sr. Data Scientist plays an integral role in the design, development and implementation of machine learning and statistical methods on big data sets to identify students at-risk of low performance in a course, determine online course design characteristics and their impacts on student learning, and other analysis projects related to learning and teaching with technology. Findings from this research will be used to create production-level algorithms within Blackboard applications and inform product development priorities.

Wednesday, May 13, 2015

Where others see a 8 GB SQL dump, you see a thousand stories waiting to be uncovered. You're characterized by an overdose of curiosity with a healthy serving of skepticism. You can run an analytics campaign to optimize a sales funnel or build a web-scarping, NL processing recommendation.

You know the tools of the trade and know which one fits the problem — Hadoop and Excel can co-exist peacefully. You're used to being the smartest kid in the room. You don't care if anybody else know that. Your work speaks for itself. You're our next data scientist.

Tuesday, May 12, 2015

In this role, you will focus on prototyping, developing and engineering methods and systems that process data, both in batch and streaming fashions, in order to produce actionable insights. Haskell will be used in a significant portion of the work in addition to technologies like Hadoop, SQL and RDBMSs. This is a hybrid position that will combine data science with systems engineering. Ideal candidates will:

Take delight in putting academic algorithms and ideas to practical use

Have significant knowledge and experience in working with large data systems, statistical analysis, machine learning and related topics

Have a good understanding of SQL syntax and sematics

Have significant experience developing reliable software that can scale to production use

Monday, May 11, 2015

As a data science intern, you will be working on various projects, including testing and analyzing the performance of different models, participating in data science meeting and assisting our expert data scientists in their daily activities.To become part of our team you need:

To know how to code in at least one object oriented language

Have a solid command of statistics and a knowledge of machine learning techniques

Bonus points if you light up when you think about one or more of the following: Game mechanics, activity streams, reputation and recommendations systems, social learning systems, complicated taxonomies, information visualization, and learning platforms. You put metrics to work for you; you can tell an actionable metric from a fluffy one. You have experience with other languages and frameworks and may have even developed for platforms like iPhone, Android, and Facebook.

Data analyst for an innovative new analytic application platform start-up. Work with customers in the credit and investment analytics space to create sophisticated decision models that model their business and make automated real-time decisions.

It seems to me that the goal in hiring personnel is for them to be responsible and motivated workers. Just because they're junior or an intern doesn't remove this goal. I've personally dealt with a remote intern and it worked out fine. Also, given most junior and DS intern positions would be targeted at folks that already have a BS and are in graduate school, it self-selects towards more responsible workers.

The lead developer will manage a team of developers to continue building the machine learning algorithm. The primary aspects of the algorithm which must be developed: - Data science to optimize the initial choice of samples sent out - Feedback loop - Data collection - Algorithm automation - Operations automation

Must wear many hats and be ready to quickly scale the organization. Ideally you would be well versed in ios, Android, leading teams, and have an EE and machine learning background, but EE and Android is not a necessity.

We are looking for a part-time research associate with ninja-like data science, mathematical and algorithmic skills. We are building the next PageRank-like algorithm to calculate legal risk in Online Contracts. This is a rare opportunity to be part of a patent pending algorithm development, and become part of owning a patent.

We required tech architect with strong technical skills and extensive experience in handling databases. In addition the skills mentioned below would also be highly valued:-Strong algorithmic composing and programming skill set-Experience with building and/or interacting with mapping data, geospatial services, large datasets, routing algorithms and traffic pattern analysis-Experience in statistical inferences/analysis, data mining and time series analysis

As a member of the technical specialist team, you’ll work with the team lead, UI/UX lead, and full stack team to design and develop schemas, ontologies, and API specifications (25%). You’ll develop the models or develop ingesters/mappers to bring data in and out of the production system (25%), write rules and rule engine interfaces (25%), and integrate semantic and statistical models into a Java enterprise and object oriented system (25%).

As one of the job perks, you'll get, "$1,000 allowance for your own, personal drone... everyone in the company enjoys flying these things!"

As a data scientist on our team, you will be tasked with designing and implementing predictive models. You will utilize the latest techniques in machine learning and statistics to solve big problems in the Financial Technology space. You’ll be working alongside the business development team to deeply understand the nuances of construction lending and use that knowledge to design a model that will be one of the pillars of our company’s success. You’ll then help the product team build that model into the rest of the web platform. From exploration to execution, you will be critical to the design and implementation of our data product.

... we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. The position is for a backend engineer and will involve architecting and building scalable, event-driven fraud detection systems.

Wednesday, April 22, 2015

Thinkful students sharpen their skills in weekly 1-on-1 sessions as they work through our project-based curriculum and build data science skills to better their careers or advance personal projects. Work with our students as they learn to acquire, clean, analyze and visualize data to answer meaningful questions in Python and work towards a career in data science.

We are looking for accomplished scientists and engineers interested in a customer-facing software consultancy that could lead to full time placement with a customer at the conclusion of a project or additional work with other clients. Many of these roles allow for involvement with our core technologies as needed by the customer. The more experienced candidate will have a strong technical background with at least a Masters Degree in Statistics, Science, Engineering, or related field with a solid understanding of Data Science.

Continuum has had a huge positive impact on the data science world, and it's great to see them hiring data scientists.

We're looking for a Data Science Evangelist to be the outward face of Dominoto the data science community: do your own analysis projects and write about them; help our users with their analyses; attend meetups and other events. This is a great opportunity for someone with diverse interests who wants exposure to a breadth of sophisticated data science use cases. Interested? Let us know!

I contacted Nick Elprin and Domino and asked if they were open to remote, to which he said: "Sure, we're open to remote candidates." So, let them know RemoteDataScience sent you!

Monday, April 20, 2015

Humana is seeking an experienced statistician with demonstrated health and wellness data analysis expertise to join a newly created Science & Analytics team in Wellness department. The Science & Analytics area within Wellness designs and conducts scientific research to improve the health of our consumers. The data scientist will be responsible for answering vital scientific questions relevant to Humana’s Wellness Products and Services. The ideal candidate will be creative and innovative in planning analytic studies and data visualization, have experience working with large complex data sets from various sources (e.g., health care systems, claims, services operations, apps, external sources, survey data), have advanced statistical skills, have demonstrated expertise in leveraging big data, and be skilled at planning and conducting next generation analyses to predict and influence consumer Wellness behaviors.

In a co-located office, a lot of information is shared in-person. In a remote situation, everything is shared via written communication. Communication is one of the most important parts of remote team. Therefore, good writers are valuable.

You'll work closely with our risk, finance and machine learning teams to build credit policies for our diverse user segments, design solutions that can scale with our user base, and think through how to best evaluate and manage credit risk for businesses small, large, conventional and unique.You’ll:

Work with the risk and finance teams to improve Stripe's credit risk policies, define acceptable exposure at the segment and entity level, and manage portfolio risk.

Work closely with the machine learning team to create statistical models that estimate the probability of default and extent of exposure across a wide range of businesses.

Design creative ways to manage risk for large or unusual accounts that don't fit into traditional statistical models.

Work with the risk team to create processes (both manual and automated) to handle deviations from acceptable risk levels and develop ways to proactively mitigate risk.

Build reporting systems to analyze and track the performance of our credit risk models and strategies.